Staged Training Report ✓ Complete

Run ID: shoulder_session_10_min_3
Generated: 2026-02-16 18:24:22
Stages Completed: 1
Total Elapsed Time: 05:03:44

Configuration

Config Defaults Changed Since Last Commit

ParameterPreviousCurrent
divergence_min_updates 5 10
divergence_patience 20 50
runs_per_stage 1 5
val_plateau_patience 100 250
All Configuration Parameters (60 parameters)
ParameterValue
total_samples10000000
batch_size1
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.5
divergence_patience50
divergence_min_updates10
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience250
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience15
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage5
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idshoulder_session_10_min_3
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min10.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.9
plateau_sweep.plateau_improvement_threshold0.0005
plateau_sweep.plateau_patience25
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
initial_sweep_enabledTrue
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 1 3 00:42:32 00:18:53 01:01:26
TOTAL 3 00:42:32 00:18:53 01:01:26

Plateau Sweep Details

Total Sweeps: 3
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:42:32
Average Sweep Duration: 00:14:10

Stage 1: 3 sweeps

LR Progression: 5.6e-04 → 3.2e-05 → 3.2e-05 → 3.2e-05

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 23,250 00:07:43 3.16e-05 00:14:11
2 29,750 00:24:06 3.16e-05 00:14:10
3 46,750 00:43:56 3.16e-05 00:14:10

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 1 0.018175 max_sweeps (2) 9,750 01:01:26 3 5.6e-04→3.2e-05

Total Plateau Sweeps: 3

Stop Reason Breakdown

Loss Across Full Training Run

Loss Detail (Post Initial Drop)

Multi-Run Statistics

Total Runs: 5
Average Best Loss: 0.019618 ± 0.001535
Best Overall: 0.018175
Worst Overall: 0.022526

Stage 1 (5 runs)

Run Best Loss Stop Reason Samples Time Selected
1 0.022526 max_sweeps (2) 12,750 00:44:45
2 0.019568 max_sweeps (2) 9,250 00:47:50
3 0.018175 max_sweeps (2) 9,750 01:01:26
4 0.018565 max_sweeps (2) 12,250 00:40:10
5 0.019253 max_sweeps (2) 6,750 01:32:56
Mean: 0.019618 ± 0.001535 Min: 0.018175 / Max: 0.022526 Range: 0.004351

Best Checkpoint

Name: best_model_auto_session_so101_ep0000_20260215_092819_shoulder_session_10_min_3_00051500_cont_val_0.018175.pth
Stage: 1
Hybrid Loss (full session): 0.014916

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
1 ⭐ 0.014916 0.018175 01:01:26 9750 max_sweeps (2)

Hybrid Loss Over Original Session (per Stage)

Stage 1 (Best) - Hybrid Loss: 0.014916

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 1 (Best) - Total Samples: 9,750

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 546

Action 0
Action 1
Action 2

Observation 1265

Action 0
Action 1
Action 2